Theoretical Output Current Spectra of Three Phase Current Source Converters

Size: px
Start display at page:

Download "Theoretical Output Current Spectra of Three Phase Current Source Converters"

Transcription

1 Thorcal Oupu Currn Spcra of Thr Phas Currn Sourc Convrrs chal Brhoff, Frrch W. Fuchs Chrsan-Albrchs-Unvrs of Kl Kasrsr., Kl, Grman Tl Sabn Pschk Howalswrk-Dusch Wrf GmbH Wrfsr. /, Kl, Grman Tl Kwors «Currn Sourc Invrr CSI», «Harmoncs», «Puls Wh oulaon PW», «Passv Flr» Absrac Th gomrc-wall-mol b Black has succssfull bn appl o calcula h harmonc spcra of volag sourc convrrs. Ths papr rvs h applcaon of h gomrc-wall-mol on h oupu currns of a currn sourc convrr, CSC, b ulzng ual consraons o volag sourc convrrs o rmn h spcra of h puls oupu currns occurrng n a CSC. Inroucon Powr qual usuall s rmn b h phas splacmn of volag an currn funamnal as wll as h currn an volag soron. Th qual of h currn wavm s commonl masur b h oal harmonc soron facor o valua h harmonc conn. Furhrmor spcfc rangs of h currn spcra ar arss b EI concrns. Hnc currn harmoncs hav gan spcal anon powr qual rqurmns n rcn ars. Thus flr rang s an nvabl par of powr convrr sgn. To m boh rqurmns o flr sgn, h conomcal as wll as powr qual aspcs, currn harmoncs o b xpc b an puls wh moulaon srag n combnaon wh a spcfc flr opolog hav o b prc an h complanc o oblgaor sanars has o b chck. Ths am has bn subc of man publcaons an spcall h currn harmoncs of h mos common hr phas volag sourc convrr hav bn analz xnsvl. In m oman s possbl o calcula h phas currn harmonc conn as a funcon of h moulaon n wh approxmaons whch l smpl quaons ach moulaon schm an frs orr flrs a nglgbl rror []- []. Wh approachs n h frqunc oman accura bu n urn also complca rsuls can b achv []-[8]. Th lar soluons ar mor comprhnsv as h rnr nmaon no onl abou h roo man squar valu of h sum of all harmoncs bu also h compl phas currn spcra xampl b mans of applng h gomrc-wall-mol approach b Black [9]. Thus s capabl o suppor analss of an moulaon mho an spcall an flr opolog as rsulng calculaons ar as o hanl n h frqunc oman. Bas on hs xprncs a novl analss s prsn o rv h phas currn spcra of a currn sourc convrr, CSC. Th Fourr analss accorng o Black s gomrc-wall-mol s combn wh ual consraons rgarng hr phas volag an currn sourc convrrs [], []. Th cohrnc bwn a slcon of spac vcor squncs h currn sourc convrr an wll known moulaon wavms bng sanar applcaon o h volag sourc convrr s pon ou []. orovr h horcal oucoms of hs analss hav bn vrf b xprmnal rsuls. In h frs scon ual ssus rgarng currn sourc an volag sourc convrrs ar xplan. Ths s follow b h scon scon whch als wh h vlopmn of h oubl Fourr srs

2 accorng o Black [9] an s applcaon on h CSC. Afr clarfcaon of h funamnals calculaon rsuls an corrsponng xprmnal oucoms ar prsn h oupu currn spcra of a CSC. Fnall an assssmn h CSC as compar wh h VSC s gvn whch s follow b a concluson. Dual of VSC an CSC convrrs Snc mhos o rmn h oupu volag spcra of a wo lvl hr phas VSC ar wll known s comabl o appl such xprncs on h CSC b ulzng ual ruls. As scrb n [] an [] all planar lcrcal nworks can b ransm no ual ons. Bu snc h acual hr phas convrr opologs comprs non planar graphs h compl VSC opolog canno b ransm no h CSC opolog rcl. Howvr hs s no ncssar h purposs ha ar pursu n hs papr. B rgarng h VSC an CSC opologs n a smplf mannr as shown n fgur, a ransmaon bcoms possbl an spcall rasonabl furhr consraons of ual n puls parn. Th ransmaon ha was xcu n fgur s complan wh h gnral ual ruls [], [], sang ha nos woul b convr o loops an b hs w conncons woul b convr no la an vc vrsa. Volags bcom currns an srs conncons woul b rplac b paralll conncons o nam onl h mos mporan opraons of ual ransmaon. V Z V V / Z V Dual Transmaon Z V Z V V / Z V ' Z V Y Y Y I Y Y Y Y Y Y Sar-Dla Transmaon ' ' ' ' ' Fg. : Acual crcu opologs h VSC an CSC wh smplfcaons ransmaon an hr corrsponng graphs

3 B obsrvng h lgh color pas of fgur h bnfs of hs consraons bcom obvous: Th nsananous valus of h volag sourcs onl can assum quans of V n ±V /, h nsananous valus of h currn sourcs woul b corrsponngl ±I /. As h volag sourcs V - V can b rgar proporonal o h currn sourcs, an wh h facor V /I a rc assocaon of h moulaon schm boh convrr ps can b sablsh. B rvng PW parns h CSC from alra wll known an analz PW schms h VSC, s fasbl o appl h rsuls ha wr foun n [] [9] on h CSC wh onl ll f as h rsulng phas currns ar h sum of h ncomng currns n nos, an n h rgh mos crcu agram of fgur. Th mos ffcul par rmanng s o assgn a spcfc moulaon an carrr wavm rspcvl o on unqu swchng squnc of spac vcors h CSC. Ths has bn on whn h scop of hs work som moulaon srags, s abl I. Th frs row splas h swchng squnc of spac vcors n h rspcv scors of h spac vcor plan urng on swchng carrr pro. Th las wo rows rprsn h corrsponng moulaon an carrr wavms. Th rlaon bwn spac vcor moulaon an carrr bas moulaon s rv n [], []. Tabl I: Cohrnc of CSC -PW an carrr bas PW.8 oulaon oulaon oulaon I I I Spac vcor squnc I I,,,,,,,,,,,,,,,,,, I I I I,,,,,,,,,,,,,,,,,,,,,,,, I I I I,,,,,,,,,,,,,,,,,,,,,,,, I I I I I Corrsponng moulaon wavm Carrr wavm saw ooh, ralng g rangl rangl

4 oulaon mho rsmbls an opporun o ralz h las swchng opraons. Ohr squncs of h acv spac vcors ar concvabl an coul b ralz b h moulaon wavms corrsponng o PW mhos o an o xampl. Th acual nflunc on h numbr of swchng opraons s caus b h carrr wavm. oulaon mhos an consu wo PW mhos ha woul caus qual swchng losss as moulaon spcfc oprang pons onl, ha s ϕ / moulaon mho an ϕ -/ moulaon mho []. Ths ffc coms along wh h bnf of lss rppl n h flr phas currn u o h ncras numbr of swchng opraons. Th gomrc-wall-mol Inall h gomrc-wall-mol was appl h analss of asnchronous snusoal moulaon schms o ovrcom h problms caus b non proc bhavor of h puls wavm [] - [8]. A wo mnsonal vw h acuall hr mnsonal consr mol s gvn b fgur. Th walls ar rprsn b h bounars of h sha aras wh a hgh of V or I rspcvl pnng on h convrr p. Th walls ar orn prpncular o h x- plan. B h assumpon of unpolar swchng a c componn A s nrouc whch can b srgar n furhr calculaons. Th nrscons of h ln x/p wh h moulaon wavms / n ± h bounars of h sha aras nca a puls ranson of V or I pnng on h convrr opolog ha s obsrv. Th rsulng bpolar puls ran whou c componn s a mach of h volag or currn ouln lvr b h sourcs of h corrsponng lgh color crcu agrams of fgur. Th unpolar puls racor can b xprss b a oubl Fourr srs wh h complx Fourr coffcns rmn b. Hr p s h carrr rao p c /, c s h angular carrr frqunc an s h angular frqunc of h moulaon wavm s funamnal. For llusraon purposs h mos smpl cas was chosn: a snusoal moulaon wavm along wh naural samplng. Th moulaon wavms ar smmrcall arrang aroun lns of mulpls of o ralz a mol ha suppors a rangular carrr wav shap. For a al xplcaon of h nroucon of rgular samplng an ohr moulaon funcons s []-[8]. x/p V, V,I x c Fg. : Th gomrc wall mol A F x, A B [ A n B sn n ] [ A B sn ] ± [ A n B sn n ] m n± n n F x, n n m m m

5 Equaon can b aap h rmnaon of h Fourr coffcns of h puls oupu quans of h sourcs pc n h lgh color crcu agrams of fgur. Thr woul assum a m lk whn a rangl carrr s concrn an alrnavl woul b h appropra xprsson whn a saw ooh carrr wh a ralng g s assum whr ncas h moulaon wavm. Hr h moulaon n vars whn h rang of... Th ovrmoulaon rgon s no rgar an naural samplng s assum whn applng hs xprssons. ; I V V n n ; I V V n n In h parcular cas of h moulaon mhos gvn b abl I h calculaons wr carr ou as follows. Wh moulaon funcon xprss b quaon an wavms an xprss b follows ha quaon can b mplo n o fn h soluon moulaon mho an quaons can b nsr no o fn h corrsponng soluon xprssons. To calcula h rsulng ac oupu volags of h VSC all common mo volag porons ha o b subrac from h alra rmn spcra [8]. On h ohr han h CSC h rsulng currn harmoncs n phas on nsanc can b rmn b 7 h cas ha moulaon mho s appl. Th calculaon of h phas currn spcra PW mhos an ha o b conuc accorngl. or or or - - I n n 7

6 Calculaon rsuls Calculaons of h oupu currn harmoncs wr carr ou b mans of h gomrc-wall-mol accorng o all hr moulaon srags along wh h corrsponng carrr wavm ach as ls b abl I. Naural samplng was assum bu h calculaons can also b aus rgular samplng accorng o [], [8]. Equaon was numrcall solv usng ahca T bu h analcal soluon all moulaon wavms gvn b abl I can b look up n [8]. A carrr rao of p was assum an h s ban squncs wr confn o lmns ach. Th oucoms ar prsn n h agrams of fgur, whr h pak valus of h CSC oupu currn harmoncs ν î ar sanarz wh h c currn I an h frqunc f s scal wh mulpls of h carrr frqunc f c. ν î /I ν î /I Fg. : Calculaon rsuls: sanarz oupu currn spcra vrsus sanarz frqunc an moulaon n, lf: o, rgh: o an o cra h sam oupu currn spcra ν î /I ν î /I Fg. : asurmn rsuls: sanarz oupu currn spcra vrsus sanarz frqunc an moulaon n, lf: o, rgh: o an o cra h sam oupu currn spcra

7 Th spp ouln of h graphs as appars vrsus h moulaon n rsuls from h calculaons bng conuc scr oprang pons wh,.,..,. As moulaon srags o an o l h sam harmonc prmanc h ar rprsn b on agram onl n fgur. Th comparson of h harmonc prmanc of all hr ffrn moulaon srags rnrs h cran of wha was assum. Obvousl u o h av swchng opraon h moulaon srags o an hr follows a harmonc prmanc ha s supror o ha of o. Ths can b nca b h lowr frqunc harmoncs bng mor omnan o han h ohr wo moulaon mhos. asurmn rsuls asurmns wr akn from an IGBT currn sourc convrr accorng o h smplf quvaln crcu of fgur. I was opra wh a c currn of I A. Th hr phas loa consss of an Cflr. mh, C 8 µf an an ausabl loa rssanc. Th swchng carrr frqunc was s o f c khz. Th convrr s oupu currn was masur b a currn prob a sa sa opraon. asurmn valus wr sampl an plo wh an ONO SOKKI CF- FFT analzr. Th aa valuaon nclung h Fourr analss was on usng alab T. Fgur rvals h rsuls of h masurmn squncs as rcl corrsponng o fgur. Thr ar onl small vaons bwn analcal an xprmnal rsuls. Rmanng vaons bwn masurmns an hor ar suppos o orgna from horcal assumpons ha ffr o h acual prmss such as currn prob naccurac or prsumpon of naural samplng nsa of h acuall appl rgular samplng. Th lar problm can asl b a b h xnson of h prsn calculus rgular samplng [], [8]. Also a cran amoun of c currn rppl an rsonan ffcs of h flr ha ar gnor b h calculaons ar lkl o occur n xprmn. Comparson wh volag sourc convrrs Th quson of a comparson rgarng h harmonc prmanc of currn sourc an volag sourc convrrs s nvabl. A unf moulaon mho prov h followng can b sa. Whn obsrvng fgur s vn ha all harmoncs gnra b h currn sourc convrr as sanarz wh h c currn ν î /I ar hghr han h sanarz volag harmoncs ν û /U rnr b a volag sourc convrr b xacl h facor. Hnc a monsraon of h oupu harmoncs of volag an currn sourc convrrs as sanarz wh h funamnal woul b prfrabl. Such graph woul b val boh convrr opologs. Tabl II rvals h corrsponng analcal rsuls. Hr as an xampl h wll known moulaon funcon cra b qual ulzaon of h wo ffrn zro volag spac vcors as commonl us h VSC s also frs colu, scon row of abl I s combn wh boh, a saw ooh an a rangular carrr. A unf fnon of h moulaon n s prsum gvng a rang of.. ovrmoulaon s srgar boh convrr ps. Th lowr wo rows rprsn h swch valus of boh convrr opologs urng on xmplar swchng carrr pro. Th avanag of h scon colu moulaon srag volag sourc convrrs now bcoms obvous: Th favorabl oupu volag spcra achv wh a rangular carrr wavm woul b ralz b h sam numbr of swchng opraons as h wors cas rgarng harmoncs gnraon ha woul b a saw ooh carrr. On h ohr han concrnng h currn sourc convrr s vn ha as soon as h carrr wavm vas from a saw ooh h swchng opraons woul b oubl an so h swchng losss.

8 Tabl II: Comparson of swchng opraons VSC an CSC Saw ooh carrr, ralng g Trangular carrr Harmonc spcra Vˆ Vˆ ˆ ˆ ν ν Vˆ Vˆ ˆ ˆ ν ν Swch valus VSC V V V V / -V / V / -V / V / -V / I V V V V / -V / V / -V / V / -V / I CSC I I -I -I Concluson As mnsonng a powr lcroncs ssm an assssmn of h suggs flr or moulaon schm s nvabl. Espcall h rmnaon of h xpc currn soron s an mporan ask. To cop wh hs challng a novl approach h currn sourc convrr has bn prsn. Th wll known gomrc-wall-mol coul succssfull b appl on h currn sourc convrr b rgarng uals wh h volag sourc convrr. Thrb h analcal rmnaon of h phas currn spcra of hr phas currn sourc convrrs has bn ralz. B usng hs mho on h CSC wh an gvn moulaon mho or spcall an flr crcur h phas currn spcra can b rmn analcall a an gvn moulaon n. Th analcal rsuls agr wh xprmnal ons ha wr sampl hr ffrn parcular PW mhos. Fnall wh h labora rsuls prov a brf assssmn of h CSC oupu currn spcra as compar o h VSC oupu volag spcra was gvn.

9 Rfrncs []. J.W. Kolar, H. Erl. F.C. Zach, Analcall clos opmzaon of h moulaon mho of a PW rcfr ssm wh hgh puls ra, Proc. Powr Convrson Inllgn oon, unch, Grman, Jun 7 9, 99, pp. 9 []. J.W. Kolar, H. Erl, F.C. Zach, Influnc of h moulaon mho on h conucon losss of a PW convrr ssm, IEEE Trans. on Inusr Appl., vol. 7, no., pp. 7, 99 []. H. v.. Brock, Analss of h Harmoncs n volag f nvrr rvs caus b PW schms wh sconnuous swchng opraon, Proc. Europan Conf. on Powr Elcr., 99, Frnz, vol., pp. []. F. Jnn, D. Wüs, Survrfahrn für slbsgführ Sromrchr, Tubnr Sugar 99 []. J.F. onhan,.g. Egan, J..D. urph, Thorcal spcra of spac-vcor-moula wavms, IEE Proc.-Elcr. Powr Appl., vol, no., Januar 998 []. S.R. Bows, Nw snusoal pulswh-moula nvrr, IEE Proc., vol., no., Novmbr 97, pp. 8 [7]. F.R. Walsh, J.F. onhan, P.J. Roch,.G. Egan, J..D. urph, Analss an nflunc of moulaon schm on h szng of h npu flr n a PW rcfr ssm, Proc. Europ. Conf. on Powr Elcr., 997, Tronhm, vol., pp [8]. D.G. Holms, T.A. po, Puls wh moulaon powr convrrs, IEEE prss srs on powr ngnrng, Pscaawa, [9]. H.S. Black, oulaon Thor, Van Nosran, 9 []. J.W. Kolar, H. Erl, F.C. Zach, Quas-ual moulaon of hr-phas PW convrrs, IEEE Trans. on Inusr Appl., vol. 9, no., pp. 8, 99 []. J.W. Kolar, H. Erl, F.C. Zach, Analss of h ual of hr phas PW convrrs wh c volag lnk an c currn lnk, Conf. Rc. IAS Ann. g., San Dgo CA, Oc. -, 989, pp. 7 77, vol. []. Y. Nsha, Comparav valuaon of PW schms hr-phas PW currn-sourc PFC rcfr, Powr Elcroncs an oon Conrol Confrnc,, Rga, Procngs on CD []. K. Zhou, D. Wang, Rlaonshp bwn spac-vcor moulaon an hr-phas carrr bas PW: a comprhnsv analss, IEEE Trans. on In. Elcr., vol. 9, No., Fbruar []..H. Brhoff, F.W. Fuchs, Smconucor losss n volag sourc an currn sourc IGBT convrrs bas on analcal rvaon, Powr Elcr. Spc. Conf.,, Aachn, vol., Procngs on CD

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

innovations shocks white noise

innovations shocks white noise Innovaons Tm-srs modls ar consrucd as lnar funcons of fundamnal forcasng rrors, also calld nnovaons or shocks Ths basc buldng blocks sasf var σ Srall uncorrlad Ths rrors ar calld wh nos In gnral, f ou

More information

Chapter 9 Transient Response

Chapter 9 Transient Response har 9 Transn sons har 9: Ouln N F n F Frs-Ordr Transns Frs-Ordr rcus Frs ordr crcus: rcus conan onl on nducor or on caacor gornd b frs-ordr dffrnal quaons. Zro-nu rsons: h crcu has no ald sourc afr a cran

More information

EE"232"Lightwave"Devices Lecture"16:"p7i7n"Photodiodes"and" Photoconductors"

EE232LightwaveDevices Lecture16:p7i7nPhotodiodesand Photoconductors EE"232"Lgwav"Dvcs Lcur"16:"p77n"Pooos"an" Pooconucors" Rang:"Cuang,"Cap."15"(2 n E) Insrucor:"Mng"C."Wu Unvrsy"of"Calforna,"Brkly Elcrcal"Engnrng"an"Compur"Scncs"Dp. EE232$Lcur$16-1 Rvrs"bas%p""n%juncon

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

More information

FAULT TOLERANT SYSTEMS

FAULT TOLERANT SYSTEMS FAULT TOLERANT SYSTEMS hp://www.cs.umass.du/c/orn/faultolransysms ar 4 Analyss Mhods Chapr HW Faul Tolranc ar.4.1 Duplx Sysms Boh procssors xcu h sam as If oupus ar n agrmn - rsul s assumd o b corrc If

More information

Theoretical Seismology

Theoretical Seismology Thorcal Ssmology Lcur 9 Sgnal Procssng Fourr analyss Fourr sudd a h Écol Normal n Pars, augh by Lagrang, who Fourr dscrbd as h frs among Europan mn of scnc, Laplac, who Fourr rad lss hghly, and by Mong.

More information

Boosting and Ensemble Methods

Boosting and Ensemble Methods Boosng and Ensmbl Mhods PAC Larnng modl Som dsrbuon D ovr doman X Eampls: c* s h arg funcon Goal: Wh hgh probably -d fnd h n H such ha rrorh,c* < d and ar arbrarly small. Inro o ML 2 Wak Larnng

More information

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

Generalized Half Linear Canonical Transform And Its Properties

Generalized Half Linear Canonical Transform And Its Properties Gnrlz Hl Lnr Cnoncl Trnorm An I Propr A S Guh # A V Joh* # Gov Vrh Inu o Scnc n Humn, Amrv M S * Shnkrll Khnlwl Collg, Akol - 444 M S Arc: A gnrlzon o h Frconl Fourr rnorm FRFT, h lnr cnoncl rnorm LCT

More information

Frequency Response. Response of an LTI System to Eigenfunction

Frequency Response. Response of an LTI System to Eigenfunction Frquncy Rsons Las m w Rvsd formal dfnons of lnary and m-nvaranc Found an gnfuncon for lnar m-nvaran sysms Found h frquncy rsons of a lnar sysm o gnfuncon nu Found h frquncy rsons for cascad, fdbac, dffrnc

More information

Modified-Zero-Fourth-Order-Cumulant-Expansion Approximation Method for Investigation of Turbulence with Reacting and Mixing Chemical Elements

Modified-Zero-Fourth-Order-Cumulant-Expansion Approximation Method for Investigation of Turbulence with Reacting and Mixing Chemical Elements IOS Journal of Mahmacs IOS-JM ISSN: 78-578. olum 3 Issu Sp-Oc. PP 37-53 Mof-Zro-Fourh-Orr-Cumulan-xpanson pproxmaon Mho for Invsgaon of urbulnc wh acng an Mxng Chmcal lmns M.C.Mshram an Kr Sahu Dparmn

More information

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35 MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h

More information

State Observer Design

State Observer Design Sa Obsrvr Dsgn A. Khak Sdgh Conrol Sysms Group Faculy of Elcrcal and Compur Engnrng K. N. Toos Unvrsy of Tchnology Fbruary 2009 1 Problm Formulaon A ky assumpon n gnvalu assgnmn and sablzng sysms usng

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

CHAPTER-2. S.No Name of the Sub-Title No. 2.5 Use of Modified Heffron Phillip's model in Multi- Machine Systems 32

CHAPTER-2. S.No Name of the Sub-Title No. 2.5 Use of Modified Heffron Phillip's model in Multi- Machine Systems 32 9 HAPT- hapr : MODIFID HFFON PHILLIP MODL.No Nam of h ub-tl Pag No.. Inroucon..3 Mollng of Powr ym Hffron Phllp Mol.4 Mof Hffron Phllp Mol 7.5 U of Mof Hffron Phllp mol n Mul- Machn ym 3 HAPT-.. Inroucon

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Chapter 13 Laplace Transform Analysis

Chapter 13 Laplace Transform Analysis Chapr aplac Tranorm naly Chapr : Ouln aplac ranorm aplac Tranorm -doman phaor analy: x X σ m co ω φ x X X m φ x aplac ranorm: [ o ] d o d < aplac Tranorm Thr condon Unlaral on-dd aplac ranorm: aplac ranorm

More information

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d. A/CN C m Sr Anal Profor Òcar Jordà Wnr conomc.c. Dav POBLM S SOLIONS Par I Analcal Quon Problm : Condr h followng aonar daa gnraon proc for a random varabl - N..d. wh < and N -. a Oban h populaon man varanc

More information

Searching for pairing interactions with coherent charge fluctuations spectroscopy

Searching for pairing interactions with coherent charge fluctuations spectroscopy Sarchng for parng nracons wh cohrn charg flucuaons spcroscopy J. Lornzana ISC-CNR, Sapnza, Unvrsy of Rom B. Mansar, A. Mann, A. Odh, M. Scaronglla, M. Chrgu, F. Carbon EPFL, Lausann Ouln Raman scarng Cohrn

More information

Node Placement and Mobility Control in Mobile Wireless Sensor Networks

Node Placement and Mobility Control in Mobile Wireless Sensor Networks Prprns of h 18h IFAC Worl Congrss o Placmn an Mobly Conrol n Mobl Wrlss Snsor works Mnchol Km an Song-Lyun Km School of Elcrcal an Elcronc Engnrng, Yons Unvrsy, 50 Yons-ro, Soamun-gu, Soul 120-749, Kora

More information

Wave Superposition Principle

Wave Superposition Principle Physcs 36: Was Lcur 5 /7/8 Wa Suroson Prncl I s qu a common suaon for wo or mor was o arr a h sam on n sac or o xs oghr along h sam drcon. W wll consdr oday sral moran cass of h combnd ffcs of wo or mor

More information

Improved Ratio Estimators for Population Mean Based on Median Using Linear Combination of Population Mean and Median of an Auxiliary Variable

Improved Ratio Estimators for Population Mean Based on Median Using Linear Combination of Population Mean and Median of an Auxiliary Variable rcan Journal of Opraonal Rsarch : -7 DOI:.59/j.ajor.. Iprov Rao saors for Populaon an as on an Usng Lnar Cobnaon of Populaon an an an of an uxlar arabl Subhash Kuar aav San Sharan shra * lok Kuar Shukla

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco

More information

PSS Tuning of the Combined Cycle Power Station by Neural Network

PSS Tuning of the Combined Cycle Power Station by Neural Network Procngs of h Worl Congrss on Engnrng an Compur Scnc 7 WCECS 7, Ocobr 46, 7, San Francsco, USA PSS Tunng of h Combn Cycl Powr Saon by Nural Nwork E. L. F. Danl, F. M. F. Souza, J. N. R. a Slva Jr, J. A.

More information

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( ) Rviw Lcur 5 Firs-ordr circui Th sourc-fr R-C/R-L circui Sp rspons of an RC/RL circui v( ) v( ) [ v( 0) v( )] 0 Th i consan = RC Th final capacior volag v() Th iniial capacior volag v( 0 ) Volag/currn-division

More information

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thomas Whitham Sith Form Pur Mathmatics Unit C Algbra Trigonomtr Gomtr Calculus Vctor gomtr Pag Algbra Molus functions graphs, quations an inqualitis Graph of f () Draw f () an rflct an part of th curv

More information

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 Implmnaon of h Endd Cona Gradn Mhod for h Two- Dmnsonal Enrd Wav Eqaon Vcor Onoma WAZIRI * Snda Ass REJU Mahmacs/Compr

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

SIMEON BALL AND AART BLOKHUIS

SIMEON BALL AND AART BLOKHUIS A BOUND FOR THE MAXIMUM WEIGHT OF A LINEAR CODE SIMEON BALL AND AART BLOKHUIS Absrac. I s shown ha h paramrs of a lnar cod ovr F q of lngh n, dmnson k, mnmum wgh d and maxmum wgh m sasfy a cran congrunc

More information

Fluctuation-Electromagnetic Interaction of Rotating Neutral Particle with the Surface: Relativistic Theory

Fluctuation-Electromagnetic Interaction of Rotating Neutral Particle with the Surface: Relativistic Theory Fluuaon-lroagn Inraon of Roang Nural Parl w Surfa: Rlavs or A.A. Kasov an G.V. Dov as on fluuaon-lroagn or w av alula rar for of araon fronal on an ang ra of a nural parl roang nar a polarabl surfa. parl

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation Bh-Salp Equaon n s Funcon and h Bh-Salp Equaon fo Effcv Inacon n h Ladd Appoxmaon Csa A. Z. Vasconcllos Insuo d Físca-UFRS - upo: Físca d Hadons Sngl-Pacl Popagao. Dagam xpanson of popagao. W consd as

More information

Partition Functions for independent and distinguishable particles

Partition Functions for independent and distinguishable particles 0.0J /.77J / 5.60J hrodynacs of oolcular Syss Insrucors: Lnda G. Grffh, Kbrly Haad-Schffrl, Moung G. awnd, Robr W. Fld Lcur 5 5.60/0.0/.77 vs. q for dsngushabl vs ndsngushabl syss Drvaon of hrodynac Proprs

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

EE105 Fall 2015 Microelectronic Devices and Circuits. LTI: Linear Time-Invariant System

EE105 Fall 2015 Microelectronic Devices and Circuits. LTI: Linear Time-Invariant System EE5 Fall 5 Mrolron Dvs and Crus Prof. Mng C. Wu wu@s.rkl.du 5 Suarda Da all SD - LTI: Lnar Tm-Invaran Ssm Ssm s lnar sudd horoughl n 6AB: Ssm s m nvaran: Thr s no lok or m rfrn Th ransfr funon s no a funon

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

Joint State and Parameter Estimation by Extended Kalman Filter (EKF) technique

Joint State and Parameter Estimation by Extended Kalman Filter (EKF) technique Inrnaonal Journal o Engnrng Rsarch an Dvlopmn -ISSN: 78-67 p-issn: 78-8 www.jr.com Volum Issu 8 (Augus 5.4-5 Jon Sa an aramr Esmaon by En alman Flr (EF chnu S. Damoharao.S.L.V. Ayyarao G Sun Dp. o EEE

More information

Fractal diffusion retrospective problems

Fractal diffusion retrospective problems Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv

More information

H is equal to the surface current J S

H is equal to the surface current J S Chapr 6 Rflcion and Transmission of Wavs 6.1 Boundary Condiions A h boundary of wo diffrn mdium, lcromagnic fild hav o saisfy physical condiion, which is drmind by Maxwll s quaion. This is h boundary condiion

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel DUET Journal Vol., Issu, Jun Ergodc apac of a SIO Ssm Ovr Nakagam-q Fadng hannl d. Sohdul Islam * and ohammad akbul Islam Dp. of Elcrcal and Elcronc Engnrng, Islamc Unvrs of Tchnolog (IUT, Gazpur, Bangladsh

More information

( r) E (r) Phasor. Function of space only. Fourier series Synthesis equations. Sinusoidal EM Waves. For complex periodic signals

( r) E (r) Phasor. Function of space only. Fourier series Synthesis equations. Sinusoidal EM Waves. For complex periodic signals Inoducon Snusodal M Was.MB D Yan Pllo Snusodal M.3MB 3. Snusodal M.3MB 3. Inoducon Inoducon o o dsgn h communcaons sd of a sall? Fqunc? Oms oagaon? Oms daa a? Annnas? Dc? Gan? Wa quaons Sgnal analss Wa

More information

Explicit Delay and Power Estimation Method for CMOS Inverter Driving on-chip RLC Interconnect Load

Explicit Delay and Power Estimation Method for CMOS Inverter Driving on-chip RLC Interconnect Load Inrnonl Journl of Elcrcl n Elcroncs Engnrng : Explc Dly n Powr Esmon Mho for MOS Invrr Drvng on-hp R Inrconnc o Susm Shoo Mhumn D n Rjb r bsrc h rssv-nucv-cpcv bhvor of long nrconncs whch r rvn by MOS

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

More information

Lecture 23. Multilayer Structures

Lecture 23. Multilayer Structures Lcu Mullay Sucus In hs lcu yu wll lan: Mullay sucus Dlcc an-flcn (AR) cangs Dlcc hgh-flcn (HR) cangs Phnc Band-Gap Sucus C Fall 5 Fahan Rana Cnll Unvsy Tansmssn Ln Juncns and Dscnnus - I Tansmssn ln dscnnus

More information

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions EE 35 Signals an Sysms Spring 5 Sampl Exam # - Soluions. For h following signal x( cos( sin(3 - cos(5 - T, /T x( j j 3 j 3 j j 5 j 5 j a -, a a -, a a - ½, a 3 /j-j -j/, a -3 -/jj j/, a 5 -½, a -5 -½,

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer. R A T T L E R S S L U G S NAME: ANSWER KEY DATE: PERIOD PREAP PHYSICS REIEW TWO KINEMATICS / GRAPHING FORM A DIRECTIONS: MULTIPLE CHOICE. Chs h r f h rr answr. Us h fgur bw answr qusns 1 and 2. 0 10 20

More information

Fourier Series: main points

Fourier Series: main points BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca

More information

(Real-)Options, Uncertainty and Comparative Statics:

(Real-)Options, Uncertainty and Comparative Statics: obas Brg * / Sascha H. Mölls / mo Wllrshausn Ral-Opons, Uncrany an Comparav Sacs: Ar Black an Schols msakn? Summary: h purpos of hs papr s o analyz h nflunc of uncrany on h valu of ral opons whl allowng

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Convergence of Quintic Spline Interpolation

Convergence of Quintic Spline Interpolation Inrnaonal Journal o ompur Applcaons 97 8887 Volum 7 No., Aprl onvrgnc o Qunc Spln Inrpolaon Y.P. Dub Dparmn O Mamacs, L.N..T. Jabalpur 8 Anl Sukla Dparmn O Mamacs Gan Ganga ollg O Tcnog, Jabalpur 8 ASTRAT

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information

Mitigation of Inrush Current in Load Transformer for Series Voltage Sag Compensator

Mitigation of Inrush Current in Load Transformer for Series Voltage Sag Compensator Inrnaonal Journal of Engnrng Rsarch & Tchnology (IJERT) ISSN: 2278-181 Vol. 3 Issu 5, May - 214 Mgaon of Inrush Currn n Load Transformr for Srs Volag Sag Compnsaor Asf Hamd Wan M.Tch Scholar, Dp. of Elcrcal

More information

NUMERICAL ALGORITHM FOR OPTIMAL MULTI-VARIABLE CONTROL OF AERO ENGINES

NUMERICAL ALGORITHM FOR OPTIMAL MULTI-VARIABLE CONTROL OF AERO ENGINES NUMERICL LGORIHM OR OIML MULI-VRILE CONROL O ERO ENGINE ODLansv Vrkn GGKlkov VYrkov Dparmn of oma Conrol sms Ufa a vaon chncal Unvrs KMar r Ufa 45 Rssa Dparmn of omac Conrol an sms Engnrng Unvrs of hffl

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination Mathmatics H Calculus I: Limits, rivativs, an Intgrals Trnt Univrsity, Summr 8 Solutions to th Actual Final Eamination Tim-spac: 9:-: in FPHL 7. Brought to you by Stfan B lan k. Instructions: Do parts

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds Chapr 7, n, 7 Ipuls rspons of h ovng avrag flr s: h[, ohrws sn / / Is frquny rspons s: sn / Now, for a BR ransfr funon,, For h ovng-avrag flr, sn / W shall show by nduon ha sn / sn / sn /,, Now, for sn

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

More information

Additional Math (4047) Paper 2 (100 marks) y x. 2 d. d d

Additional Math (4047) Paper 2 (100 marks) y x. 2 d. d d Aitional Math (07) Prpar b Mr Ang, Nov 07 Fin th valu of th constant k for which is a solution of th quation k. [7] Givn that, Givn that k, Thrfor, k Topic : Papr (00 marks) Tim : hours 0 mins Nam : Aitional

More information

First order differential equation Linear equation; Method of integrating factors

First order differential equation Linear equation; Method of integrating factors First orr iffrntial quation Linar quation; Mtho of intgrating factors Exampl 1: Rwrit th lft han si as th rivativ of th prouct of y an som function by prouct rul irctly. Solving th first orr iffrntial

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

SPH4U Electric Charges and Electric Fields Mr. LoRusso

SPH4U Electric Charges and Electric Fields Mr. LoRusso SPH4U lctric Chargs an lctric Fils Mr. LoRusso lctricity is th flow of lctric charg. Th Grks first obsrv lctrical forcs whn arly scintists rubb ambr with fur. Th notic thy coul attract small bits of straw

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall. Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin

More information

Estimation of Population Variance Using a Generalized Double Sampling Estimator

Estimation of Population Variance Using a Generalized Double Sampling Estimator r Laka Joural o Appl tatstcs Vol 5-3 stmato o Populato Varac Us a Gralz Doubl ampl stmator Push Msra * a R. Kara h Dpartmt o tatstcs D.A.V.P.G. Coll Dhrau- 8 Uttarakha Ia. Dpartmt o tatstcs Luckow Uvrst

More information